State-machine-based filtering method for vehicle speed detection

Jian Qun Wang, Qing Yang Wu, Cao Ning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High frequency burr in the pulse signal is one of the most important reasons to affect the detection accuracy and reliability of signal. This paper puts forward a real-time filtering method based on State Machine, and gives a speed detection method, which has been successfully applied to military vehicle speed detection. In order to realize filtering, the State Machine, using CPLD as hardware and driven by high frequency clock, detects transient signal, and then filters out the short pulse and outputs the wide pulse. This paper describes in detail the principle of filtering method based on State Machine, and analyses the filtering characteristic as well. By simulating its application on square signal, we discuss its feasibility and the influence of filtering width.

Original languageEnglish
Title of host publication26th Chinese Control and Decision Conference, CCDC 2014
PublisherIEEE Computer Society
Pages2039-2043
Number of pages5
ISBN (Print)9781479937066
DOIs
Publication statusPublished - 2014
Event26th Chinese Control and Decision Conference, CCDC 2014 - Changsha, China
Duration: 31 May 20142 Jun 2014

Publication series

Name26th Chinese Control and Decision Conference, CCDC 2014

Conference

Conference26th Chinese Control and Decision Conference, CCDC 2014
Country/TerritoryChina
CityChangsha
Period31/05/142/06/14

Keywords

  • Speed detection
  • State Machine
  • filtering
  • high frequency burr

Fingerprint

Dive into the research topics of 'State-machine-based filtering method for vehicle speed detection'. Together they form a unique fingerprint.

Cite this